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Article: Power of linkage versus association analysis of quantitative traits, by use of variance-components models, for sibship data
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TitlePower of linkage versus association analysis of quantitative traits, by use of variance-components models, for sibship data
 
AuthorsSham, PC1
Cherny, SS1 2
Purcell, S1
Hewitt, JK2
 
Issue Date2000
 
PublisherCell Press. The Journal's web site is located at http://www.cell.com/AJHG/
 
CitationAmerican Journal Of Human Genetics, 2000, v. 66 n. 5, p. 1616-1630 [How to Cite?]
DOI: http://dx.doi.org/10.1086/302891
 
AbstractOptimal design of quantitative-trait loci (QTL) mapping studies requires a precise understanding of the power of QTL linkage versus QTL association analysis, under a range of different conditions. In this article, we investigate the power of QTL linkage and association analyses for simple random sibship samples, under the variance-components model proposed by Fulker et al. After a brief description of an extension of this variance- components model, we show that the powers of both linkage and association analyses are crucially dependent on the proportion of phenotypic variance attributable to the QTL. The main difference between the two tests is that, whereas the power of association is directly related to the QTL heritability, the power of linkage is related more closely to the square of the QTL heritability. We also describe both how the power of linkage is attenuated by incomplete linkage and incomplete marker information and how the power of association is attenuated by incomplete linkage disequilibrium.
 
ISSN0002-9297
2013 Impact Factor: 10.987
 
DOIhttp://dx.doi.org/10.1086/302891
 
ISI Accession Number IDWOS:000088373700016
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorSham, PC
 
dc.contributor.authorCherny, SS
 
dc.contributor.authorPurcell, S
 
dc.contributor.authorHewitt, JK
 
dc.date.accessioned2011-12-16T08:09:34Z
 
dc.date.available2011-12-16T08:09:34Z
 
dc.date.issued2000
 
dc.description.abstractOptimal design of quantitative-trait loci (QTL) mapping studies requires a precise understanding of the power of QTL linkage versus QTL association analysis, under a range of different conditions. In this article, we investigate the power of QTL linkage and association analyses for simple random sibship samples, under the variance-components model proposed by Fulker et al. After a brief description of an extension of this variance- components model, we show that the powers of both linkage and association analyses are crucially dependent on the proportion of phenotypic variance attributable to the QTL. The main difference between the two tests is that, whereas the power of association is directly related to the QTL heritability, the power of linkage is related more closely to the square of the QTL heritability. We also describe both how the power of linkage is attenuated by incomplete linkage and incomplete marker information and how the power of association is attenuated by incomplete linkage disequilibrium.
 
dc.description.natureLink_to_subscribed_fulltext
 
dc.identifier.citationAmerican Journal Of Human Genetics, 2000, v. 66 n. 5, p. 1616-1630 [How to Cite?]
DOI: http://dx.doi.org/10.1086/302891
 
dc.identifier.doihttp://dx.doi.org/10.1086/302891
 
dc.identifier.epage1630
 
dc.identifier.isiWOS:000088373700016
 
dc.identifier.issn0002-9297
2013 Impact Factor: 10.987
 
dc.identifier.issue5
 
dc.identifier.pmid10762547
 
dc.identifier.scopuseid_2-s2.0-0033927466
 
dc.identifier.spage1616
 
dc.identifier.urihttp://hdl.handle.net/10722/143694
 
dc.identifier.volume66
 
dc.publisherCell Press. The Journal's web site is located at http://www.cell.com/AJHG/
 
dc.publisher.placeUnited States
 
dc.relation.ispartofAmerican Journal of Human Genetics
 
dc.relation.referencesReferences in Scopus
 
dc.titlePower of linkage versus association analysis of quantitative traits, by use of variance-components models, for sibship data
 
dc.typeArticle
 
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Author Affiliations
  1. King's College London
  2. University of Colorado at Boulder